Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

List of tools & datasets for anomaly detection on time-series data.

A complete list of papers on anomaly detection.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly detection related books, papers, videos, and toolboxes

A PyTorch implementation of the Deep SVDD anomaly detection method

A curated list of awesome anomaly detection resources